Unraveling retraction dynamics in COVID-19 research: Patterns, reasons, and implications.

Unraveling retraction dynamics in COVID-19 research: Patterns, reasons, and implications.

Publication date: Jul 23, 2024

Amid the COVID-19 pandemic, while the world sought solutions, few scholars exploited the situation for personal gains through deceptive studies and manipulated data. This paper presents the extent of 400 retracted COVID-19 papers listed by the RetractionWatch database until the month of February 2024. The primary purpose of the research was to analyze journal quality and retractions trends. Evaluating the journal’s quality is vital for stakeholders, as it enables them to effectively address and prevent such incidents and their future repercussions. The present study found that one-fourth of publications were retracted within the first month of their publication, followed by an additional 6% within six months of publication. One third of the retractions originated from Q1 journals, with another significant portion coming from Q2 (29. 8%). An analysis of the reasons for retractions indicates that a quarter of retractions were attributed to multiple causes, predominantly associated with publications in Q2 journals, while another quarter were linked to data issues, primarily observed in Q1 publications. Elsevier retracted 31% of papers, with the majority published as Q1, followed by Springer (11. 5%), predominantly as Q2. The study also examined author contributions, revealing that 69. 3% were male, with females (30. 7%) mainly holding middle author positions.

Concepts Keywords
February authorship position
Females country collaboration
Journals COVID-19 retraction
Pandemic journal quartile
Retractionwatch retraction reasons

Semantics

Type Source Name
disease MESH COVID-19
disease IDO quality
disease VO publication
disease MESH causes
disease IDO country

Original Article

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